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DBMS > GigaSpaces vs. Milvus vs. OpenMLDB

System Properties Comparison GigaSpaces vs. Milvus vs. OpenMLDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMilvus  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA DBMS designed for efficient storage of vector data and vector similarity searchesAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Vector DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.gigaspaces.commilvus.ioopenmldb.ai
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlmilvus.io/­docs/­overview.mdopenmldb.ai/­docs/­zh/­main
DeveloperGigaspaces Technologies4 Paradigm Inc.
Initial release200020192020
Current release15.5, September 20202.4.4, May 20242024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJava, C++, .NetC++, GoC++, Java, Scala
Server operating systemsLinux
macOS
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
SQLAlchemy
Supported programming languages.Net
C++
Java
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
GigaSpacesMilvusOpenMLDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
GigaSpacesMilvusOpenMLDB
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